Bjoern Menze

A large collection of 3D medical shapes for research and education.

Researchers use graph neural networks to better predict MS disease activity.

New tools improve chest CT scan analysis and diagnosis accuracy.

An advanced AI model enhances ischemic stroke lesion detection in MRI scans.

This explores how probabilistic approaches improve contrastive learning in machine learning.

A challenge aims to enhance tumor outlining on brain scans for better treatment planning.

The BraTS Challenge pushes boundaries in automated meningioma segmentation using deep learning.

Collaborative efforts improve imaging techniques for pediatric brain tumors.

A new approach to create realistic 3D models of blood vessels using denoising diffusion.

A method to enhance model training using partially labeled medical images.

ISLES’24 aims to improve stroke damage prediction using imaging and clinical data.

Using multi-modal learning for early detection of heart diseases.

Using retinal images combined with health data improves stroke risk prediction.

New methods combine data to enhance stroke risk predictions.